Angle-Domain Hybrid Beamforming-Based mmWave Massive MIMO-NOMA Systems

Autor: Israa Khaled, Ammar El Falou, Charlotte Langlais, Michel Jezequel, Bachar Elhassan

Publikováno v: IEEE Open Journal of the Communications Society, Vol 4, Pp 684-699 (2023)

The millimeter-wave (mmWave) large-scale antenna arrays (LSAAs) systems play a vital role in increasing the beamforming (BF) gain and acquiring highly directional propagation. Recently, non-orthogonal multiple access (NOMA) has been integrated into t

Externí odkaz: https://doaj.org/article/a5eae09e8a63475b9a454bf59c454e6c

Transfer Incremental Learning Using Data Augmentation

Autor: Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel

Publikováno v: Applied Sciences, Vol 8, Iss 12, p 2512 (2018)

Deep learning-based methods have reached state of the art performances, relying on a large quantity of available data and computational power. Such methods still remain highly inappropriate when facing a major open machine learning problem, which con

Externí odkaz: https://doaj.org/article/6c8bf93e143c45b0be230e866cad8215

No-instruction-set-computer design experience of flexible and efficient architectures for digital communication applications: two case studies on MIMO turbo detection and universal turbo demapping

Autor: Yasser Mohanna, Youssef Atat, Amer Baghdadi, Mostafa Rizk, Michel Jezequel

Publikováno v: Design Automation for Embedded Systems
Design Automation for Embedded Systems, Springer Verlag, 2021, 25 (1), pp.1-42. ⟨10.1007/s10617-021-09245-x⟩

International audience; The emerging flexibility need in designing application-specific processors dedicated for modules of digital receiver imposes a new design metric, which is added to the requirements of efficiency and productivity. In order to c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b86658409d9b7eea999eff62047a9f9
https://hal-imt-atlantique.archives-ouvertes.fr/hal-03344273

Joint SDMA and Power-Domain NOMA System for Multi-User Mm-Wave Communications

Autor: Israa Khaled, Bachar Elhasssan, Ammar El Falou, Charlotte Langlais, Michel Jezequel

Publikováno v: IWCMC 2020 : International Wireless Communications and Mobile Computing Conference
IWCMC 2020 : International Wireless Communications and Mobile Computing Conference, Jun 2020, Limassol, Cyprus. ⟨10.1109/IWCMC48107.2020.9148204⟩
IWCMC

International audience; Digital beamsteering (DBS) is an appealing technique to overcome the severe millimeter-wave path loss, with less complexity and less channel feedback. In multiuser systems, DBS generates a beam toward each user. However, in co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55f40e6cc5e05ccc9a7ed886f9030f37
https://hal.archives-ouvertes.fr/hal-02901840

Efficient Hardware Implementation of Incremental Learning and Inference on Chip

Autor: Nicolas Farrugia, Matthieu Arzel, Vincent Gripon, Ghouthi Boukli Hacene, Michel Jezequel

Publikováno v: NEWCAS
NEWCAS 2019 : 17th IEEE International New Circuits and Systems Conference
NEWCAS 2019 : 17th IEEE International New Circuits and Systems Conference, Jun 2019, Munich, Germany. ⟨10.1109/NEWCAS44328.2019.8961310⟩

In this paper, we tackle the problem of incrementally learning a classifier, one example at a time, directly on chip. To this end, we propose an efficient hardware implementation of a recently introduced incremental learning procedure that achieves s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a807c720058427568aa7d9e606c1cab8
https://doi.org/10.1109/newcas44328.2019.8961310